leptocylindrus meaning in Chinese
细柱藻属
Examples
- Spectral matching algorithm is applied , such as spectral angle mapping ( sam ) in section 3 . 4 and cross correlogram spectral matching ( ccsm ) in section 3 . 5 in order to discriminate different dominant species of red tide . the results of sam spectral matching are satisfying : identifications of mesodinium rubrum and leptocylindrus danicus succeed , identification of chattonella marina has wrong possibility and that of skeletonema costatum fails
3 . 4节将光谱角度制图( spectralangl “ mapping ， sam )这一光谱匹配方法引入赤潮光谱识别研究之中，所进行的赤潮优势种类识别取得了令人较为满意的结果:红色中绕虫、丹麦细柱藻赤潮的光谱识别取得了成功;海洋褐胞藻赤潮有误识别的情况发生;只有中肋骨条藻赤潮的识别失败。 - The probable reasons for wrong identification and approach to get better results are also pointed out in section 3 . 4 . the results of ccsm spectral matching are even better than those of sam . identifications of mesodinium rubrum , leptocylindrus danicus and chattonella marina succeed and ide
3 . 5节对互相关光谱匹配( erosseorrelogamspeetralmatching ， eesm )方法用于赤潮优势种类识别研究进行了尝试，红色中绕虫、丹麦细柱藻、海洋褐胞藻赤潮的识别取得成功，中肋骨条藻赤潮的识别失败。 - After spectral data processing , remote sensing reflectance data of red tide are got , whose dominant species are leptocylindrus danicus , chattonella marina , skeletonema costatum and mesodinium rubrum respectively . section 3 . 1 gives the data processing steps , results and biological details of the dominant species described above . method of extract spectrum absorption parameters such as absorption depth , width , symmetry and area is given in section 3 . 2
对所获光谱数据进行处理，得出了丹麦细柱藻、海洋褐胞藻、中肋骨条藻、红色中缢虫等不同优势种类赤潮水体的遥感反射率光谱曲线；上述数据处理步骤、数据处理结果以及不同赤潮种类的生物特征在本章的3 . 1节给出。